In this block-seminar, we aim at gathering and connecting insights from both social and computer science. We do so by dissecting and discussing concrete algorithms (such as for match-making and facial recognition) sociotechnical. For this, we will start the first weekend by tackling core concepts from Science and Technology Studies, combined with a short introduction to algorithmic theory, and then tackle our first algorithms. On the second weekend, besides discussing more algorithms, we will also add some perspectives from feminist and intersectional science and technology studies and get to know the basics of science communication. Thus, the seminar focuses both on the concrete workings of algorithms and on their relation to societal phenomena. Its aim is not to treat technical and sociological knowledge as separate, but instead to interweave methods and content in order to best critically analyze the field of algorithms & society. The seminar adopts an interdisciplinary approach to critical computational literacy, designed for students of social sciences (3CP possible), computer science (CP status TBA), and science and technology studies (3CP). Those who do not fall into any of the aforementioned categories but who are interested in the subject are also very welcome to attend. Prior coding experience is not required to participate. If you have any questions, feel free to reach out!
- Trainer/in: Paula Kilp